Understand
what happened.
Operational systems, live events and documents hold different parts of the story. Bring them together, with their source and history intact.
Source systems → traceable evidenceSee the consequences before they become obvious.
Build the intelligence to act while options remain.
A weak signal in one system can become a critical constraint in another. Connect the evidence, uncover dependencies and compare possible responses while you still have options.
Counterfold designs and builds sovereign data intelligence systems around your operation. From Luxembourg, we bring data engineering, operational modelling and AI into a shared foundation for decisions across Europe.
Operational systems, live events and documents hold different parts of the story. Bring them together, with their source and history intact.
A delay affects an asset. That asset belongs to a rotation. The rotation depends on people and time. An ontology makes those relationships usable.
Surface unusual changes, trace their possible consequences and compare responses. Bring evidence, domain models and human judgment together, with assumptions and uncertainty visible.
Eridanos connects the evidence. Ariadne gives it operational meaning. Solon puts that context to work. One architecture, built around your decisions, systems and constraints.
Data your operation can work from. Connected, reconciled and traceable from source to decision.
Explore the approachYour business in context. Objects, dependencies and operational logic connected to the decisions people make.
Explore the approachAI inside your operating reality. Grounded analysis, controlled tools and accountable action.
Explore the approachCustom delivery. Data access, scope and acceptance criteria agreed with your team.
We connect operational systems, documents and signals into a dependable foundation. Reconcile competing records, expose missing information and preserve the evidence behind every decision.
Systems, documents, events and approved external data.
Resolve identifiers, align times and flag quality issues.
Source history, freshness and ownership stay visible.
We turn connected data into a working model of your business: objects, relationships, rules and actions. Trace how a change could spread and compare responses against the constraints that matter.
A supplier, a part, an order. Each has a shared definition.
Follow how one change affects the rest of the operation.
Attach business rules, evidence and permitted workflows.
We build AI workflows grounded in your ontology. Combine authorised evidence, selected models and controlled tools to investigate exceptions, compare options and prepare actions people can inspect.
Identity, purpose and permissions determine accessible context.
Objects, relationships, evidence and approved tools.
Separate sourced facts, calculations and generated interpretation.
Review, recheck authority, execute and record.
An ontology gives AI a model of your business. It does not, by itself, enforce security. We design the controls around the data, models, tools and actions.
Check identity, task purpose and permissions before retrieving context. Exclude or mask fields the workflow should not receive.
Choose the model and processing environment. Agree hosting location, provider access and retention for each deployment.
Give each workflow specific tools. Validate their inputs and check action permissions in the application, separately from the model's instructions.
Test representative and adversarial cases. Inspect proposed changes, route consequential actions for approval and record outcomes. Protect the access and retention of the evidence itself.
Sovereignty reaches beyond where a server sits. It includes who operates the system, who can access the data, which laws apply and whether you can change direction. We turn those questions into requirements before the first integration.
Choose storage and processing locations, infrastructure operators and encryption-key responsibilities. Assess provider ownership, support access and legal jurisdiction for European, on-premises or defined hybrid deployments.
Scope what people, models and tools may see and do. Separate read access from action authority. Agree provider processing, retention and training terms, protect operational logs and require the approvals each workflow needs.
Define export formats, documentation, model dependencies and the conditions for changing providers. Agree ownership, operating responsibilities and an exit plan as part of delivery.
Manual reconciliation consumes time before a decision can even begin. Isolated AI pilots leave the wider operating picture disconnected. Each source connected, dependency understood and workflow tested gives the next use case a stronger starting point.
Europe’s Data Act already applies, with provisions on data access and cloud switching. Control and portability belong in today’s architecture decisions. Read the European Commission’s overview
Your identifiers, processes, constraints and decisions become the blueprint. We connect the systems you already use and build around the people accountable for the outcome.
Agree the question, its operational owner and the outcome that would make the work worthwhile. Establish success measures before choosing the technology.
Confirm data access and quality. Define the business objects, domain assumptions and operating constraints with the people who know them.
Select integrations, models, interfaces and controls for the task. Test representative cases, failure conditions and permission boundaries with your team.
Validate a focused first workflow, then extend the shared foundation. Agree release, support and operating responsibilities as its role grows.
What you can shape Sources and update cadence. Business definitions and models. Deployment and access. Operator interfaces and approvals. Evaluation, support and ownership.
Start with a decision that matters now. Build a foundation for the questions your organisation has not yet asked.
Connect a changing operating picture to the people who need to act.
Schedules, rotations, maintenance events and operational reports, subject to access and agreed purpose.
Explore knock-on effects and response options. Operations specialists validate assumptions and approve interventions.
Illustrative opportunities. Data access, feasibility, validation and delivery scope are established together during discovery.
Tell us where your teams need a clearer operating picture. We will shape a demonstration around the question, the relevant evidence and the decisions people need to make.
See how scattered records become a connected operating picture.
Trace the dependencies and compare possible responses.
Explore what AI can access, which tools it can use and where human authority applies.
Start with a scenario and the systems involved. An initial conversation does not require confidential data.
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